Oracle Launches Life Sciences AI Data Platform to Integrate Real-World Data and Agentic AI

The platform is designed to support activities across research and development, clinical trials, post-market safety, and commercialization by integrating large-scale healthcare and research datasets into a unified environment.

Oracle has launched the Oracle Life Sciences AI Data Platform, a generative AI-driven analytics solution aimed at pharmaceutical, medical device, research, and life sciences organizations. The platform is designed to support activities across research and development, clinical trials, post-market safety, and commercialization by integrating large-scale healthcare and research datasets into a unified environment.

According to the company, the platform brings together customer-owned data, third-party datasets, and more than 129 million de-identified longitudinal electronic health record (EHR) records from Oracle Health Real-World Data. The consolidated data foundation is intended to enable AI-powered research by automating data ingestion and harmonization across diverse sources.

Oracle stated that generative AI and agentic reasoning capabilities are applied within the platform to accelerate data interpretation and generate insights directly within research and clinical workflows. The platform is positioned to support a range of use cases, including label expansion analysis, population-level health economics and outcomes research, synthetic control arm development, post-market safety monitoring, and regulatory submissions.

Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences, said fragmented and inconsistent data continues to limit progress across the life sciences sector. She noted that the new platform is designed to organize and analyze data at scale to surface insights that may not be feasible through manual analysis alone.

The platform includes pre-built AI agents, along with tools that allow organizations to develop custom agents based on specific research or commercial requirements. Oracle said users can interact with the system through open-ended queries, with AI agents designed to clarify intent, generate hypotheses, propose analytical approaches, and execute tasks within predefined governance controls. The system also provides visibility into data lineage to support auditability and compliance.

Oracle added that the AI Data Platform is intended to serve as a foundational layer for its broader life sciences technology stack. New Oracle Life Sciences applications are expected to integrate directly with the platform, alongside Oracle Cloud Infrastructure, the Oracle Life Sciences AI Application Suite, Oracle Fusion Cloud Supply Chain Management, Oracle Fusion Cloud Sales, and the Oracle Health AI Application Suite.

The launch expands Oracle’s portfolio of AI-enabled tools for life sciences organizations, as companies increasingly seek to leverage real-world data and advanced analytics to inform research, clinical decision-making, and commercial strategies.

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